Remote CS Benchmark Specialist (Contract)

mercor

San Francisco (CA)

Hybride

GBP 69 000 - 87 000

Temps partiel

14 jours+
Générateur de candidature

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Résumé du poste

Mercor is seeking an Applied Computer Science Benchmark Specialist on a remote, contract basis. The role requires developing deep CS questions, validating clarity and precision, and rating difficulty levels for each item.

The work is flexible, with a commitment of 10+ hours per week. Ideal candidates hold a PhD or are doctoral candidates in CS/EE, with strong knowledge of CS theory, algorithms, systems design, and ML, plus excellent written English.

Qualifications

  • PhD or doctoral candidate in Computer Science, Electrical Engineering, or closely related field.
  • Master's degree considered for exceptional depth in a subdomain.
  • Strong command of graduate-level CS theory, algorithms, systems design, and/or ML.
  • Excellent written English with clear and concise expression.

Responsabilités

  • Author original computer science questions that test deep conceptual understanding.
  • Ensure questions are unambiguous, self-contained, and precisely defined.
  • Rate each question's difficulty as Medium, Hard, or Expert.
  • Provide 1 correct answer and 9 plausible but subtly incorrect alternatives.
  • Write step-by-step Chain-of-Thought solutions in markdown format.
  • Supply 1–5 academic references per question from reputable sources.
  • For verification tasks: flag issues with clarity, completeness, precision, or solvability.

Connaissances

Graduate-level CS theory
Algorithms
Systems design
Machine learning
Written English

Formation

PhD or doctoral candidate in CS/EE
Master's degree considered

Description du poste

Mercor is seeking an Applied Computer Science Benchmark Specialist on a remote, contract basis. The role requires developing deep CS questions, validating clarity and precision, and rating difficulty levels for each item.

The work is flexible, with a commitment of 10+ hours per week. Ideal candidates hold a PhD or are doctoral candidates in CS/EE, with strong knowledge of CS theory, algorithms, systems design, and ML, plus excellent written English.

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